Lead Data Strategist

3 days ago

Melbourne, Victoria, Australia beBeeDataStrategist Full time $180,000 - $240,000

Job Description:

Role Overview

This is a senior role that requires expertise in advanced analytics and data-driven decision-making.

Key Responsibilities
  • Design and deliver data-driven remediation strategies to identify, quantify, and resolve risk issues affecting business customers.
  • Oversee analytics development using SQL, Python, and R to detect systemic issues, forecast financial impact, and automate decision-making processes.
  • Own the design, development, and governance of data solutions that track remediation actions, customer eligibility, and payment accuracy – ensuring auditability and compliance.
  • Act as the technical and strategic bridge between analytics teams and business leaders, translating complex data requirements into business-aligned outcomes.
  • Present findings and recommendations to senior executives and General Managers, with clear articulation of financial implications and risk posture.
  • Champion the automation of analytics workflows across large and complex datasets to streamline issue detection, forecasting, and remediation tracking.
  • Lead continuous improvement initiatives across tools, frameworks, and data governance processes to improve scalability, transparency, and regulator-readiness.
  • Mentor junior analysts and contribute to knowledge-sharing, code reviews, QA frameworks, and peer support.
  • Engage with internal audit, risk, and external regulatory bodies to ensure data-driven remediation work meets relevant legal and compliance standards.
Required Skills and ExperienceTechnical Expertise
  • Minimum 10 years of experience in Data Analytics, Risk Analytics, or Data Science roles with increasing responsibility.
  • Advanced proficiency in SQL, Python, and/or R, especially in handling large datasets across distributed data platforms.
  • Proven track record designing and building automated analytical pipelines and reporting frameworks.
  • Strong understanding of data governance, data lineage, and regulatory compliance standards.
  • Experience working with GitHub, CI/CD pipelines, and collaborative development environments.
Business and Regulatory Acumen
  • In-depth knowledge of financial services / banking products, systems, and remediation obligations.
  • Proven ability to assess and communicate regulatory risk impacts and financial exposures.
  • Experience working with, or presenting to, regulators (e.g., ASIC, APRA) is highly desirable.
Stakeholder Engagement
  • Strong communication and stakeholder management skills, with experience advising General Manager and C-suite stakeholders.
  • Ability to simplify and translate complex analytics outcomes into actionable business decisions.
  • Experience leading cross-functional projects involving analytics, compliance, product, and legal teams.

This is an excellent opportunity for a skilled data professional to drive business growth and success.

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